scholarly journals Just-In-Time Data Distribution for Analytical Query Processing

2012 ◽  
pp. 209-222 ◽  
Author(s):  
Milena Ivanova ◽  
Martin Kersten ◽  
Fabian Groffen
Keyword(s):  
Query Processing ◽  
Data Distribution ◽  
Just In Time ◽  
Time Data

Computer-Aided Process Planning: A Path to Just-in-Time Manufacturing for Shipyards

1988 ◽  
Vol 4 (03) ◽  
pp. 197-215
Author(s):  
Richard L. DeVries
Keyword(s):  
Real Time ◽  
Process Planning ◽  
Group Technology ◽  
Shop Floor ◽  
Just In Time ◽  
Time Data ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Time Basis ◽  
Manufacturing Data

The use of computers to improve the productivity of U.S. shipyards has never been as successful as hoped for by the designers. Many applications were simply the conversion of an existing process to a computerized process. The manufacturing database required for the successful application of computer-aided process planning (CAPP) to the shipyard environment requires a "back-to-basics" approach, one that can lead to control of the processes occurring in the fabrication and assembly shops of a shipyard. The manufacturing database will not provide management feedback designed for the financial segment of the shipyard (although it can be converted to be fully applicable): it provides "real-time" manufacturing data that the shop floor manager can utilize in his day-to-day decisions, not historical data on how his shop did last week or last month. The computer is only a tool to be used to organize the mountains of manufacturing data into useful information for today's shop manager on a "real time" basis. The use of group technology to collect similar products, the use of parameters to clearly identify work content, the use of real-time efficiency rates to project capacity and realistic schedules, and the use of bar codes to input "real time" data are all tools that are part of the process—tools for the shop floor manager of tomorrow.

scholarly journals A New Packet Scheduling Algorithm for Real-Time Multimedia Streaming

2017 ◽  
Vol 9 (1-2) ◽  
pp. 28 ◽  
Author(s):  
Mehmet ŞİMŞEK ◽  
Nurettin Doğan ◽  
Muhammet Ali Akcayol
Keyword(s):  
Real Time ◽  
Packet Scheduling ◽  
Scheduling Algorithm ◽  
Research Question ◽  
Unintended Consequences ◽  
Just In Time ◽  
Cross Layer Design ◽  
Time Data ◽  
The Real ◽  
New Research

Delivering the real-time services over converged networks is a big challenge. Real-time services need to high Quality of Service (QoS). For this purpose, bandwidth reservation and packet prioritization techniques are used. Thus, real-time data packets can be reached to their targets with minimum delays and losses.  But, this situation creates unintended consequences for other internet services such as HTTP and FTP. In this case, establishing a balance between the real-time services and the other services is a must. In this study we introduce a new research question: how to transport real-time multimedia IP packets just in time? Just in time means that transportation of the packets neither early, nor late. For this purpose we developed a scheduling/prioritizing algorithm called just in time transport (JITT). Following a cross-layer design approach, JITT controls delay and jitter over whole communication path. We evaluated JITT on the different simulations and one experimental testbed for performance analysis. Our findings support that JITT provides stable delay and low jitter and transports the packets nearly just in time.

Novel Design of Collaborative Automation Platform Using Real-Time Data Distribution Service Middleware for an Optimum Process Control Environment

2016 ◽  
Vol 25 (06) ◽  
pp. 1650063 ◽  
Author(s):  
Sadiq M. Sait ◽  
Ghalib A. Al-Hashim
Keyword(s):  
Process Control ◽  
Real Time ◽  
Data Distribution ◽  
Regulatory Control ◽  
Optimum Process ◽  
Control Environment ◽  
Time Data ◽  
Control Applications ◽  
Real Time Data ◽  
Data Distribution Service

Refining and petrochemical processing facilities utilize various process control applications to raise productivity and enhance plant operation. Client–server communication model is used for integrating these highly interacting applications across multiple network layers utilized in distributed control systems. This paper presents an optimum process control environment by merging sequential and regulatory control, advanced regulatory control, multivariable control, unit-based process control, and plant-wide advanced process control into a single collaborative automation platform to ensure optimum operation of processing equipment for achieving maximum yield of all manufacturing facilities. The main control module is replaced by a standard real-time server. The input/output racks are physically and logically decoupled from the controller by converting them into distributed autonomous process interface systems. Real-time data distribution service middleware is used for providing seamless cross-vendor interoperable communication among all process control applications and distributed autonomous process interface systems. Detailed performance analysis was conducted to evaluate the average communication latency and aggregate messaging capacity among process control applications and distributed autonomous process interface systems. The overall performance results confirm the viability of the new proposal as the basis for designing an optimal collaborative automation platform to handle all process control applications. It also does not impose any inherent limit on the aggregate data messaging capacity, making it suitable for scalable automation platforms.

scholarly journals Data Delivery in Internet of Things using Hot-Data and Cold-Data

2019 ◽  
Vol 8 (11) ◽  
pp. 3426-3433
Keyword(s):  
Internet Of Things ◽  
Data Distribution ◽  
Data Delivery ◽  
Data Traffic ◽  
Time Data ◽  
Delivery Methods ◽  
Public And Private ◽  
The World ◽  
Planning Decision ◽  
Bottle Neck

IoT (Internet of Things) have shaped the world in such a way that many objects can recognize, connect and share all information organized in exact way with one other on public and private Internet protocol networks. The data is collected on regular basis by organized things which is supplementary evaluated and used to initiating actions. These are further very suitable in planning, decision making, and management at required stages. There are also numerous sensors, devices and mainframes which are interconnected to each other by fiber and wireless etc. Many varied networks are also created when data travels from source to its destination and at the same time platforms face a lot of trials associated to the data crowding and falling due to the collision. In addition, it also leads to the bottle neck used for data traffic, which is generated due to connections of many devices on internet. There are a lot of architectures and simulation which are very useful in briefing data distribution in IoT. The paper illustrates about approach that should be followed to select the most suitable platform for data delivery in IoT. We have also researched most of the existing data delivery methods for delivering real time data in a typical IoT implementation using hot-data and cold-data

Improving execution efficiency of just-in-time compilation based query processing on GPUs

2020 ◽  
Vol 14 (2) ◽  
pp. 202-214
Author(s):  
Johns Paul ◽  
Bingsheng He ◽  
Shengliang Lu ◽  
Chiew Tong Lau
Keyword(s):  
Query Processing ◽  
Just In Time
Sign in / Sign up

Export Citation Format

Share Document